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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 2, Iss. 2 — Feb. 10, 2004
  • pp: 113–115

De-noising of Raman spectrum signal based on stationary wavelet transform

Qingwei Gao, Zhaoqi Sun, Zhuoliang Cao, and Pu Cheng  »View Author Affiliations

Chinese Optics Letters, Vol. 2, Issue 2, pp. 113-115 (2004)

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In this paper, the Raman spectrum signal de-noising based on stationary wavelet transform is discussed. Haar wavelet is selected to decompose the Raman spectrum signal for several levels based on stationary wavelet transform. The noise mean square {sigma}_j is estimated by the wavelet details at every level, and the wavelet details toward 0 by a threshold {sigma}_j (2\ln n)^{1/2} , where n is length of the detail, then recovery signal is reconstructed. Experimental results show this method not only suppresses noise effectively, but also preserves as many target characteristics of original signal as possible. This de-noising method offers a very attractive alternative to Raman spectrum signal noise suppress.

© 2005 Chinese Optics Letters

OCIS Codes
(070.6020) Fourier optics and signal processing : Continuous optical signal processing
(100.7410) Image processing : Wavelets
(300.6450) Spectroscopy : Spectroscopy, Raman

Qingwei Gao, Zhaoqi Sun, Zhuoliang Cao, and Pu Cheng, "De-noising of Raman spectrum signal based on stationary wavelet transform," Chin. Opt. Lett. 2, 113-115 (2004)

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